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1. |
Record Nr. |
UNINA9910798081503321 |
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Autore |
Prince Melvin |
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Titolo |
Market sensing today / / Melvin Prince and Constantinos-Vasilios Priporas |
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Pubbl/distr/stampa |
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New York, New York (222 East 46th Street, New York, NY 10017) : , : Business Expert Press, , 2015 |
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ISBN |
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Edizione |
[First edition.] |
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Descrizione fisica |
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1 online resource (xxvii, 172 pages) |
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Collana |
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Marketing strategy collection, , 2150-9662 |
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Disciplina |
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Soggetti |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Bibliographic Level Mode of Issuance: Monograph |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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1. Continuities in market sensing theory / Melvin Prince and Constantinos-Vasilios Priporas -- 2. Rethinking competitive analysis from a market sensing perspective / Dilip S. Mutum, Bang Nguyen, and T.C. Melewar -- 3. Market sensing and competitive intelligence / Son K. Lam -- 4. Market sensing and sense making using unstructured big data / Jerry Wind and Vincent Schiavone -- 5. A strategic tool for market sensing: ZMET / James Forr, Alan Creedy, and Joseph Plummer -- 6. Market sensing in practice with Google / Subroto Roy -- 7. Market sensing, mind genomics, and health promotion / Gillie Gabay, Michael L. Kochman, and Howard Moskowitz -- 8. Old good ideas can re-emerge with the new technology and imagination: lessons from the history of market sensing / Vincent Barabba -- Index. |
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Sommario/riassunto |
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The concept and framework of market sensing was introduced by George Day more than 20 years ago into the strategic marketing literature and especially the philosophy of the market-driven organization. Market sensing can be considered an expression of a company's capabilities to scan the external environment. It does this by using real time data and intelligence to understand business or uncertain changes, to meet the current and future needs of the market, increase customer value, and outperform competitors. Market sensing enables managers to resist complacency, as well as to exploit opportunities and to design appropriate competitive strategies in order to remain successful in today's uncertain, rapidly changing, and |
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hypercompetitive market. The present volume, Market Sensing Today, is essential reading in the marketing discipline, given the rapidly escalating innovative developments in market sensing techniques. This book of essays by acknowledged experts in the field fills an important knowledge gap and provides a realistic basis for strategy. It is replete with real-life examples of market sensing that illustrate actionable ideas for immediate impact that will improve organizational learning and accelerate growth. This book of contemporary tested and comprehensive concepts and methods grounded in diverse and rich experience is intended to stimulate creativity and insightful approaches for educators offering courses in strategy as well as for practitioners involved in crucial strategic decision making. |
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2. |
Record Nr. |
UNINA9910595031003321 |
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Titolo |
Natural Language Processing and Chinese Computing : 11th CCF International Conference, NLPCC 2022, Guilin, China, September 24–25, 2022, Proceedings, Part I / / edited by Wei Lu, Shujian Huang, Yu Hong, Xiabing Zhou |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
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ISBN |
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Edizione |
[1st ed. 2022.] |
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Descrizione fisica |
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1 online resource (878 pages) |
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Collana |
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Lecture Notes in Artificial Intelligence, , 2945-9141 ; ; 13551 |
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Disciplina |
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Soggetti |
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Artificial intelligence |
Artificial Intelligence |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Fundamentals of NLP -- Machine Translation and Multilinguality -- Machine Learning for NLP -- Information Extraction and Knowledge Graph -- Summarization and Generation -- Question Answering -- Dialogue System -- Social Media and Sentiment Analysis -- NLP |
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Applications and Text Mining -- Multimodality and Explainability -- A Deep Learning Model for Chinese Textual Entailment Recognition based on Synonym Expansion and Sememe Enhancement -- Information Extraction and Knowledge Graph Emotion-Cause Pair Extraction via Transformer-based Interaction Model with Text Capsule Network -- Summarization and Generation -- Question Answering Deep structure-aware Approach for QA over Incomplete Knowledge Bases -- On-Device Machine Reading Comprehension Model with Adaptive Fast Inference -- Faster and Better Grammar-based Text-to-SQL Parsing via Clause-level Parallel Decoding and Two-stage Query Graph Selection for Knowledge Base Question Answering -- Plug-and-Play Module for Commonsense Reasoning in Machine Reading Comprehension -- Social Media and Sentiment Analysis FuDFEND: Fuzzy-domain for Multi-domain Fake News Detection -- NLP Applications and Text Mining -- Natural language processing (NLP) -- , Syntax (Tagging, Chunking and Parsing), Semantics -- , NLP Applications, Machine Learning for NLP -- , Machine Translation and Multilinguality, Knowledge Graph -- , Information Extraction and Knowledge Acquisition -- Information Retrieval and Text Mining -- , Linguistic Theories and Cognitive Modeling and Psycholinguistics, Discourse and Pragmatics -- , Dialogue and Interactive Systems, Lexical Semantics, Text Summarization and Generation, Phonology/Morphology -- , Language Resources and Evaluation, Explainability -- Ethics and NLP, Speech and Multimodality. |
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Sommario/riassunto |
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This two-volume set of LNAI 13551 and 13552 constitutes the refereed proceedings of the 11th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2022, held in Guilin, China, in September 2022. The 62 full papers, 21 poster papers, and 27 workshop papers presented were carefully reviewed and selected from 327 submissions. They are organized in the following areas: Fundamentals of NLP; Machine Translation and Multilinguality; Machine Learning for NLP; Information Extraction and Knowledge Graph; Summarization and Generation; Question Answering; Dialogue Systems; Social Media and Sentiment Analysis; NLP Applications and Text Mining; and Multimodality and Explainability. |
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